Self-organization and dynamics reduction in recurrent networks: stimulus presentation and learning. - Emmanuel Daucé; Mathias Quoy; Bruno Cessac; Bernard Doyon; Manuel Samuelides (Neural Networks, 1998)

Mean-field equations reveal synchronization in a 2-populations neural network model. - Emmanuel Daucé; Olivier Moynot; Olivier Pinaud; Manuel Samuelides; Bernard Doyon (ESANN, 1999)

Adaptation dynamique et apprentissage dans des réseaux de neurones récurrents aléatoires. (Dynamic adaptation and learning in random recurrent neural networks). - Emmanuel Daucé (2000)

Learning from Chaos: A Model of Dynamical Perception. - Emmanuel Daucé (ICANN, 2001)

Mean-field Theory and Synchronization in Random Recurrent Neural Networks. - Emmanuel Daucé; Olivier Moynot; Olivier Pinaud; Manuel Samuelides (Neural Process. Lett., 2001)

Resonant spatiotemporal learning in large random recurrent networks. - Emmanuel Daucé; Mathias Quoy; Bernard Doyon (Biol. Cybern., 2002)

Temporal pattern identification using spike-timing dependent plasticity. - Frédéric Henry; Emmanuel Daucé; Hédi Soula (Neurocomputing, 2007)

Emergence of stimulus-specific synchronous response through STDP in recurrent neural networks. - Frédéric Henry; Emmanuel Daucé (ESANN, 2008)

A Model of Neuronal Specialization Using Hebbian Policy-Gradient with "Slow" Noise. - Emmanuel Daucé (ICANN (1), 2009)

Fast online adaptivity with policy gradient: example of the BCI "P300"-speller. - Emmanuel Daucé; Timothée Proix; Liva Ralaivola (ESANN, 2013)

Toward STDP-based population action in large networks of spiking neurons. - Emmanuel Daucé (ESANN, 2014)

Evidence build-up facilitates on-line adaptivity in dynamic environments: example of the BCI P300-speller. - Emmanuel Daucé; Eoin M. Thomas (ESANN, 2014)

Online multiclass learning with "bandit" feedback under a Passive-Aggressive approach. - Hongliang Zhong; Emmanuel Daucé; Liva Ralaivola (ESANN, 2015)

Reward-based online learning in non-stationary environments: Adapting a P300-speller with a "backspace" key. - Emmanuel Daucé; Timothée Proix; Liva Ralaivola (IJCNN, 2015)

Multistability in Large Scale Models of Brain Activity. - Mathieu Golos; Viktor K. Jirsa; Emmanuel Daucé (PLoS Comput. Biol., 2015)

Apprentissage et Contrôle dans les Architectures Neuronales. (Learning and Control in Neuronal Architectures). - Emmanuel Daucé (2016)

Predicting the consequence of action in digital control state spaces. - Emmanuel Daucé (CoRR, 2016)

Toward predictive machine learning for active vision. - Emmanuel Daucé (CoRR, 2017)

Active Fovea-Based Vision Through Computationally-Effective Model-Based Prediction. - Emmanuel Daucé (Frontiers Neurorobotics, 2018)

End-Effect Exploration Drive for Effective Motor Learning. - Emmanuel Daucé (IWAI, 2020)

Visual Search as Active Inference. - Emmanuel Daucé; Laurent Perrinet (IWAI, 2020)

What You See Is What You Transform: Foveated Spatial Transformers as a bio-inspired attention mechanism. - Ghassan Dabane; Laurent U. Perrinet; Emmanuel Daucé (IJCNN, 2022)

Concurrent Credit Assignment for Data-efficient Reinforcement Learning. - Emmanuel Daucé (IJCNN, 2022)

Retinotopy Improves the Categorisation and Localisation of Visual Objects in CNNs. - Jean-Nicolas Jérémie; Emmanuel Daucé; Laurent U. Perrinet (ICANN (1), 2023)

Non-instructed Motor Skill Learning in Monkeys: Insights from Deep Reinforcement Learning Models. - Laurène Carminatti; Lucio Condro; Alexa Riehle; Sonja Grün; Thomas Brochier; Emmanuel Daucé (SAB, 2024)

Retinotopic Mapping Enhances the Robustness of Convolutional Neural Networks. - Jean-Nicolas Jérémie; Emmanuel Daucé; Laurent U. Perrinet (CoRR, 2024)